[nltk_data] Downloading package stopwords to /home/dev/nltk_data...
[nltk_data]   Package stopwords is already up-to-date!

Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-21

  • This period covers praise given between 2022-10-25 and 2022-11-06.
  • We allocated a total of 853.9746835443037 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 4 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
108.0 akrtws (TE Academy)#4246 for the very successful launch of the TE fundamentals educational course! Great work I am loving the curated articles, amazing program!
85.75 pat.zip (TE Academy)#5266 for the very successful launch of the TE fundamentals educational course! Great work I am loving the curated articles, amazing program!
80.5 r-x-x#8344 for a great and insightful analysis on praise https://forum.tecommons.org/t/a-report-on-the-distributive-impact-of-praise-part-1/1167
53.0 akrtws (TE Academy)#4246 for her great IRL presentation of the launch of TE fundamentals at Devcon!
53.0 Zeptimus#3359 for having taken care of credentials for the TEC for so long! 🙏
53.0 enti#1546 for getting out of his comfort zone, and spending the time to learning new technologies in order to createa beautiful dashboard on Discord activity at the commons https://eenti.github.io/TEC-Discord-Analysis/
34.13 bear100#9085 for the tremendous leadership he has shown this week in coming up with a process for helping the TEC to prioritize its ongoing operations and identify key strategic questions.
32.75 GideonRo#3175 for leading the transformation session today, including leading the complicated and critical overhaul of the TEC structure
32.75 bear100#9085 creating the figma board of functional needs of the TEC in such a comprehensive way. This is such a useful way to cast the net wide and capture many perspectives of mission critical needs in the TEC that we can ensure continue to be supported.
30.75 Nuggan#5183 for adding support to rad-classic for dynamic praise token distributions. If implemented in the TEC this will save us a lot of $TEC.

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

Out[13]:

Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 72 praises, 6 (8.33%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 72 praises, 3 (4.17%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.